Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies

24 February 2022

Papers citing "Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies"

10 / 10 papers shown

Title
We're Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text Aarohi Srivastava David Chiang 46 0 0 10 Apr 2024
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models J. Michaelov Catherine Arnett Tyler A. Chang Benjamin Bergen 34 12 0 15 Nov 2023
Cross-lingual Transfer of Monolingual Models Evangelia Gogoulou Ariel Ekgren T. Isbister Magnus Sahlgren 27 16 0 15 Sep 2021
Subword Mapping and Anchoring across Languages Giorgos Vernikos Andrei Popescu-Belis 59 12 0 09 Sep 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models Phillip Rust Jonas Pfeiffer Ivan Vulić Sebastian Ruder Iryna Gurevych 69 235 0 31 Dec 2020
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 195 122 0 30 Dec 2020
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models Benjamin Muller Antonis Anastasopoulos Benoît Sagot Djamé Seddah LRM 106 165 0 24 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 187 1,638 0 16 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016